Data quality is critical in the success of data-driven decisions. Issues with data will impact users across the organization- from operators, engineers, data scientists, to leaders. Answering business intelligence questions such as “which assets are performing well and which are under-performing” requires a birds-eye view of the data which may require (re)shaping of the data within the PI System. This talk and demo will explore the aspects of data quality and data shaping using PI System infrastructure by illustrating why they are so critical for success. We will also demonstrate the steps of how to improve Data Quality in the PI System and shape the PI System data to give it the right context for your advanced analytics.
Camille Metzinger is a Data Scientist at OSIsoft. She is passionate about transforming data into valuable insights. Over the last 4 years, Camille has led key internal analytics projects for OSIsoft's public websites and YouTube Channel. As an experienced PI System Administrator as well, she is excited to share her data science and analytics expertise to help you take your PI System data to the next level.